DocumentCode :
2497400
Title :
The pattern recognition of sensor’s static non-linearity based on EIPR-FLANN
Author :
Sun, Chuan ; Li, Tao ; Wang, Yongji ; Zhu, Xiangou
Author_Institution :
Dept. of Mechanic & Electron. Eng., HuangShi Inst. of Technol., Huangshi
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
7556
Lastpage :
7559
Abstract :
The equal interval piecewise recognition (EIPR) was put forward. The pattern recognition of sensorpsilas static characteristic based on EIPR-FLANN has been introduced, and the satisfying simulation results have been obtained. The results are indicating EIPR-ANN is provided with high doughty approach ability. The method has preferable applications foreground.
Keywords :
neural nets; pattern recognition; sensors; EIPR-FLANN; equal interval piecewise recognition; pattern recognition; sensor static nonlinearity; Area measurement; Artificial neural networks; Chebyshev approximation; Computer errors; Curve fitting; Intelligent sensors; Inverse problems; Pattern recognition; Polynomials; Sensor phenomena and characterization; Artificial Neural Network (ANN); Equal Interval Piecewise Recognition (EIPR); pattern recognition; sensor; static non-linearity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594101
Filename :
4594101
Link To Document :
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